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EM-ANN modelling and optimal chamfering of 90/spl deg/ CPW bends with air-bridges

机译:带有空气桥的EM-ANN建模和90 / spl度/ CPW弯头的最佳倒角

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Electromagnetically-trained artificial neural network (EM-ANN) models for coplanar waveguide (CPW) 90/spl deg/ bends with air-bridges are presented. The optimal chamfer is determined for a conventional CPW bend where both the slot and strip are chamfered. Also, a novel compensated CPW bend is introduced where only the strip is chamfered. Optimum value of this chamfer is found to be the maximum chamfer allowed by air-bridge placement. This novel compensated CPW bend is shown to reduce the return loss from that in the conventional optimally chamfered CPW bend by 3 to 7 dB.
机译:提出了共面波导(CPW)90 / spl度/弯头与空气桥的电磁训练人工神经网络(EM-ANN)模型。对于常规的CPW折弯确定最佳倒角,在常规的CPW折弯中,将槽和带都倒角。另外,在仅对带材进行倒角的情况下,引入了一种新颖的补偿式CPW弯头。发现该倒角的最佳值为空桥放置所允许的最大倒角。这种新颖的补偿式CPW弯曲线显示出与传统的最佳倒角CPW弯曲线相比,可将回波损耗降低3至7 dB。

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